Abstract:Objectives. We investigated whether a greater burden of disease among poorer individuals and ethnic minorities accounted for socioeconomic and racial disparities in self-reported physical functioning among older adults. Methods. We used data from adults aged 60 years or older (n = 5556) in the Third National Health and Nutrition Examination Survey, 1988–1994 to test associations between education level, poverty index, and race/ethnicity and limitations in 11 functions. We adjusted for demographic features and… Show more
“…Racial differences associated with higher morbity 19,46,47 , obesity 9,15,22,29 and disability 16,28 are largely explained by unfavorable socioeconomic conditions, with lead to an accumulation of unhealthy behaviors and lifestyle, due to lower access to information, quality education and health services. According to Chor 20 , race, socioeconomic status and gender are crucial variables Table 4 Effect of race on body fat among diabetic elderly individuals according to gender, adjusted by schooling and family income.…”
Section: Discussionmentioning
confidence: 99%
“…Socioeconomic disparities in obesity, as with other health conditions, are well-established in the literature 12,13,14,15,16 . Race and ethnicity, demographic characteristics which are also widely correlated with socioeconomic status 17,18,19,20 , are associated with obesity, evaluated by anthropometric indicators of general (BMI) 7,9,21,22,23 and central fat (waist circumference -WC and waist-hip ratio -WHR) 9,24,25 .…”
Resumo: O objetivo deste trabalho foi investigar o efeito da cor/raça em medidas indicadoras de adiposidade corporal (índice de massa corporal - IMC, circunferência de cintura - CC e relação cintura-quadril - RCQ), bem como sua relação com o diabetes, em idosos residentes na área urbana de sete localidades brasileiras, conforme o gênero. O estudo transversal foi realizado com uma amostra probabilística composta por 2.566 idosos de 65 anos ou mais, participantes do Estudo FIBRA (Fragilidade em Idosos Brasileiros). Foram utilizadas variáveis sociodemográficas autorrelatadas (gênero, idade, cor/raça, escolaridade e renda familiar), medidas antropométricas indicadoras de obesidade geral (IMC) e abdominal (CC e RCQ) e diabetes autorreferida. Ajustando-se para escolaridade e renda, a cor/raça branca associou-se a maiores valores de CC (p = 0,001) e RCQ (p > 0,001), no gênero masculino, independentemente do diabetes. Entretanto, ao considerar apenas a amostra de diabéticos, a cor/raça preta passou a associar-se à obesidade geral (IMC) (p = 0,007) e central (CC) (p > 0,001), apenas entre as mulheres.
“…Racial differences associated with higher morbity 19,46,47 , obesity 9,15,22,29 and disability 16,28 are largely explained by unfavorable socioeconomic conditions, with lead to an accumulation of unhealthy behaviors and lifestyle, due to lower access to information, quality education and health services. According to Chor 20 , race, socioeconomic status and gender are crucial variables Table 4 Effect of race on body fat among diabetic elderly individuals according to gender, adjusted by schooling and family income.…”
Section: Discussionmentioning
confidence: 99%
“…Socioeconomic disparities in obesity, as with other health conditions, are well-established in the literature 12,13,14,15,16 . Race and ethnicity, demographic characteristics which are also widely correlated with socioeconomic status 17,18,19,20 , are associated with obesity, evaluated by anthropometric indicators of general (BMI) 7,9,21,22,23 and central fat (waist circumference -WC and waist-hip ratio -WHR) 9,24,25 .…”
Resumo: O objetivo deste trabalho foi investigar o efeito da cor/raça em medidas indicadoras de adiposidade corporal (índice de massa corporal - IMC, circunferência de cintura - CC e relação cintura-quadril - RCQ), bem como sua relação com o diabetes, em idosos residentes na área urbana de sete localidades brasileiras, conforme o gênero. O estudo transversal foi realizado com uma amostra probabilística composta por 2.566 idosos de 65 anos ou mais, participantes do Estudo FIBRA (Fragilidade em Idosos Brasileiros). Foram utilizadas variáveis sociodemográficas autorrelatadas (gênero, idade, cor/raça, escolaridade e renda familiar), medidas antropométricas indicadoras de obesidade geral (IMC) e abdominal (CC e RCQ) e diabetes autorreferida. Ajustando-se para escolaridade e renda, a cor/raça branca associou-se a maiores valores de CC (p = 0,001) e RCQ (p > 0,001), no gênero masculino, independentemente do diabetes. Entretanto, ao considerar apenas a amostra de diabéticos, a cor/raça preta passou a associar-se à obesidade geral (IMC) (p = 0,007) e central (CC) (p > 0,001), apenas entre as mulheres.
“…Smoking behaviors is most worrisome for the one fifth of older single fathers who reported that their grandchildren/ children have asthma. Lifestyle choices about smoking and other health behaviors are especially important to study with male-headed families from low-SES backgrounds because research has suggested that adverse health outcomes are more prevalent in these families (Harvey & Ogden, 2014;Louie & Ward, 2011;Sheffer et al, 2012). Improving access to smoking cessation programs and targeted messaging that emphasize the hazards of passive smoke to children is warranted (Pisinger, Hammer-Helmich, Andreasen, Jorgensen, & Glumer, 2012).…”
Section: Physical Health and Health Behaviorsmentioning
Two important parent groups are solo grandfathers and single fathers raising children alone. The health of male caregivers raising children has received little attention by scholars. Investigating the health of single male caregivers raises awareness about their physical vulnerability. This study uses the 2012 Behavioral Risk Factor Surveillance System to compare health characteristics of 82 solo grandfathers with 396 single fathers aged 50 years and older. The findings suggest that grandfathers exhibited a high prevalence for various health conditions, including diabetes (44%), heart attack (27%), chronic obstructive pulmonary disease (23%), and stroke (6%). Almost half of grandfathers rated their health as fair/poor (47%), and nearly two in five had functional limitations (38%). Although older single fathers had better health characteristics than grandfathers, their health profile was poorer than population norms. Logistic regression analysis suggests that solo grandfathers are more at risk for poor health outcomes than older single fathers. Practice interventions to minimize health risks are discussed.
“…One pathway is by enhancing an individual’s ability to prevent and control chronic diseases. However, socioeconomic disparities in physical capacity are consistently found after accounting for health behaviors and presence of chronic diseases, suggesting additional pathways (Coppin et al, 2006; Lantz et al, 2001; Louie & Ward, 2011; Thorpe et al, 2011; Zaninotto et al, 2013). …”
Socioeconomic resources, such as education, prevent disability but are not readily modifiable. We tested the hypothesis that household and neighborhood conditions, which may be modifiable, partially account for associations between education and physical capacity in a population-based sample of older adults.
The National Health and Aging Trends Study measured education (
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